AI scans 4.6 million compounds in hours to predict hydrogen positions in drug-like molecules

Written and edited by the WorldPing NewsdeskPublished Updated Original reporting: Phys.org
AI scans 4.6 million compounds in hours to predict hydrogen positions in drug-like moleculesWorldPing
Image via Phys.org.

What happened

New York University researchers have trained an AI model to learn chemical patterns associated with stability in drug-like molecules and accurately predict where their hydrogen atoms should be positioned.

Key facts

  • Reported by Phys.org and published Wed, 23 Sep 2026 09:00:02 UTC.

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Sources

The original report was published by Phys.org. WorldPing does not claim that reporting — this page summarises and contextualises it.

Read the full report at Phys.org

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